{
"item_title" : "Industrial Process Modelling with Mechanical Frequency Spectrum Data",
"item_author" : [" Jian Tang", "Wen Yu "],
"item_description" : "Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters. The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling and control challenges in a practical way.
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Overview
Different industries use data analytics and the process modelling technique successfully in a variety of ways. These popular intelligent approaches improve the quality and quantity of production. This book focuses on the technique of soft-sensing based on spectral data with multi-source high-dimensional mechanical frequency in order to assess difficult-to-measure process parameters.
The book will be of interest to researchers and professors working in data analytics, engineers and technicians who need a modelling method based on small sample data, and PhD students who need to solve modelling and control challenges in a practical way.
This item is Non-Returnable
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Details
- ISBN-13: 9781527548664
- ISBN-10: 152754866X
- Publisher: Cambridge Scholars Publishing
- Publish Date: September 2020
- Dimensions: 8 x 6 x 1.2 inches
- Shipping Weight: 1.7 pounds
- Page Count: 511
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